Senior Technical Manager – GenAI & Data Engineering

Impetus; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Impetus is seeking a strategic and hands-on Senior Technical Manager to lead end-to-end customer project deliveries across Data Engineering, Cloud Transformation, and AI-driven solutions in the HCMI domain. You will own multi-million-dollar engagements, drive customer satisfaction, and scale a high-performing delivery organization with C-level advisory.

This leadership role combines deep technical acumen with P&L ownership, guiding teams across Cloud, Databricks, Snowflake, and GenAI.

Qualifications

• 15+ years in Data Engineering, AI/ML delivery, or cloud transformation.
• 8–10 years of mandatory HCMI domain experience.
• Hands-on experience operationalizing LLM-based enterprise solutions.
• Experience managing multi-million-dollar transformation programs.
• Executive storytelling and consultative problem framing.
• Leadership and cross-functional influence.
• Strong written and verbal communication.

Responsibilities

• Own full project/program delivery lifecycle — planning, estimation, execution, monitoring, risk management, and closure.
• Lead all customer deliveries with a GenAI/AI-First mindset across architecture, development, and operations.
• Ensure delivery quality with metrics (defect rates, test coverage, DORA), security, and customer satisfaction.
• Build and scale engineering teams (Cloud, Databricks, Snowflake, GenAI); handle hiring and retention.
• Mentor delivery teams in GenAI/AI-First culture and practices.
• Manage stakeholder relationships (internal, product, business units, vendors).
• Identify and remove delivery impediments; drive CI/CD, DevOps, automation.
• Prepare budgets, forecasts, and KPIs; report progress via dashboards/exec reviews.
• Conduct risk & dependency management; ensure security and regulatory standards.
• Champion engineering excellence and modern best practices.
• Collaborate on capacity planning, roadmaps, and resource allocation.
• Support proposals with solution positioning and architecture inputs.
• Collaborate with marketing on vertical POVs and thought leadership.

Skills

Data engineering

AI/ML delivery

Cloud transformation

HCMI domain experience

LLM Enterprise solutions

Multi-million-dollar programs

Executive storytelling

Cross-functional leadership

Strong communication

Job description

Role Overview:

We are seeking a strategic and hands‑on Senior Technical Manager to lead end‑to‑end customer project deliveries across Data Engineering, Cloud Transformation, Advanced Analytics, MLOps, Generative AI, and AI‑driven solutions within the HCMI (Healthcare, Consumer, Manufacturing and Information Services) domain.

You will own the successful execution of complex, multi‑million‑dollar client engagements, drive exceptional customer satisfaction, ensure profitable delivery, and scale a high‑performing delivery organization in one of the fastest‑growing technology domains.

This is a pivotal leadership role for a services/product company focused on Data + Cloud + AI, combining deep technical acumen with strong P&L ownership, C‑level client advisory, and delivery excellence.

Required Qualifications

• 15+ years in Data Engineering, AI/ML delivery, or cloud transformation.
• Minimum 8–10 years of mandatory HCMI domain experience.
• Hands‑on experience operationalizing LLM‑based enterprise solutions.
• Experience managing multi‑million‑dollar transformation programs.
• Executive storytelling and consultative problem framing
• Leadership and cross‑functional influence
• Strong written and verbal communication

Key Responsibilities:

• Own full project/program delivery lifecycle — planning, estimation, execution, monitoring, risk management, and closure.
• Lead all customer deliveries with a GenAI/AI‑First mindset: Every engagement must evaluate and embed Generative AI, Agentic AI, and intelligent automation opportunities from day one (solution blueprinting, architecture, development, and operations).
• Ensure predictable, high‑quality delivery with focus on velocity, quality metrics (defect rates, test coverage, DORA metrics), scalability, security and customer satisfaction.
• Build and scale high‑performing engineering teams (Cloud, Databricks, Snowflake, GenAI, etc.); handle hiring, onboarding, performance management, career growth, and retention.
• Build, mentor, and scale a delivery team that lives and breathes GenAI/AI‑First culture.
• Manage relationships with internal stakeholders, product teams, business units, and external vendors/partners (nearshore/offshore delivery centers).
• Identify and remove delivery impediments; escalates effectively when needed and drive continuous process improvement (CI/CD, DevOps, automation).
• Prepare and track budgets, forecasts, resource plans, and engineering KPIs; report progress through dashboards and executive reviews.
• Conduct risk & dependency management across projects; ensure compliance with security, quality, and regulatory standards.
• Champion engineering excellence — code quality, architecture governance, technical debt reduction, and adoption of modern practices (Cloud, Microservices, AI/ML where applicable).
• Collaborate with Engineering Managers and Tech Leads on capacity planning, technical roadmaps, and resource allocation.
• Support proposals and pursuits with solution positioning, win themes, value frameworks, and architecture inputs.
• Collaborate with marketing to create vertical POVs, whitepapers, webinars, and thought leadership assets